Data Scientist

Cssmerge; Warrendale (Allegheny County); On-site; USD 174,000 - 222,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k)

Discretionary vacation days

Job summary

Cssmerge is seeking a Data Analyst to own the forecasting, analysis, and optimization models that drive key business decisions. This role demands collaboration with operations and product teams to translate customer and operational data into actionable insights.

We are looking for a candidate with a strong background in data science, including modeling and algorithm development, who has at least 3 years of related experience, and proficiency in programming languages such as Python and SQL.

The position offers a competitive salary range and an array of benefits to support our employees.

Qualifications

• 3+ years of experience in data science or machine learning.
• Experience building and deploying models with measurable impact.
• Strong programming skills, especially in Python and SQL.

Responsibilities

• Perform in-depth data analysis to identify trends.
• Develop and optimize statistical models and machine learning algorithms.
• Collaborate with teams to translate data insights into actionable requirements.

Skills

Data analysis

Statistical modeling

Machine learning

Python

SQL

Operations research

Education

Bachelor’s degree in Statistics, Mathematics, or related field

Advanced degree

Tools

Data visualization tools

Simulation models

Job description

Who we are

Lab37 Robotics is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our industry.

Job Description

Own the forecasting, analysis, and optimization models that turn Lab37’s customer and operational data into reliable decision systems. Translate ambiguous problems into structured models that inform product, operations, and business decisions. Drive models from concept through deployment while balancing accuracy, interpretability, latency, and real-world impact.

What you'll do

Data Analysis & Modeling

• Perform in-depth data analysis to identify trends, patterns, and insights.
• Develop statistical models and machine learning algorithms to solve business problems.
• Create and maintain dashboards and reports to visualize key metrics and communicate findings.

Data Pipeline Development & Maintenance

• Help define Lab37's overarching data infrastructure, standards, and governance policies.
• Design, build, and maintain robust and scalable data pipelines for various data sources.
• Ensure data quality, integrity, performance, and reliability across all pipelines.

Operations Research and Optimization

• Model and optimize end-to-end system decision variables across the operational ecosystem.
• Define objective functions that formalize tradeoffs (cost, quality, timing, customer experience).
• Build optimization systems that continuously re-plan as inputs and conditions change.
• Develop simulation tools for “what-if” analysis to guide product and operational decisions.

Cross-functional collaboration

• Partner with operations, product, and engineering teams to translate data into crisp requirements.
• Communicate complex concepts clearly to technical and non-technical stakeholders.
• Support business operations with data-driven insights and analysis.

What we are looking for

• Required Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Operations Research, or a related quantitative field; advanced degree a plus.
• 3+ years of relevant work experience in data science, machine learning, statistics, operations research, or similar domains.
• Track record building and deploying models that drive measurable business impact.
• Strong analytical and statistical rigor; able to diagnose performance, identify root causes, and quantify tradeoffs.
• Strong programming skills (e.g., Python, SQL) with the ability to build production-ready data pipelines and models.
• Systems-thinking mindset; able to model complex, constraint-driven environments end-to-end.

Desirable Skills

• Experience with operations research or constraint-based optimization (e.g., LP/MIP, scheduling, resource allocation).
• Experience building simulation models for complex, real-world systems (e.g., discrete-event or digital twins).
• Experience working with real-time operational or telemetry data in production environments.
• Experience in food service, on-demand delivery, or just-in-time manufacturing / production systems.

What else you need to know

This role is based in our Los Angeles office. As a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week.

The base salary range for this role is $174,000 - $222,000 per year.

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.

Benefits Summary (USA Full-Time Exempt Employees)

• Medical, dental, and vision insurance (multiple plans, incl. HSA options).
• Company-paid life and disability insurance (short- and long-term).
• Voluntary insurance: accident, critical illness, hospital indemnity.
• Optional supplemental life insurance for self, spouse, and children.
• Pet insurance discount.
• 401(k).
• Health Savings Account (HSA)
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Time Off policies:
  • Discretionary vacation days
  • 8 paid holidays per year
  • Paid sick time
  • Paid Bereavement leave
  • Paid Parental Leave

Benefits are subject to change at the company's discretion.